mt5-small-hebrew-news-or
This model is a fine-tuned version of google/mt5-small on the hebrew_news dataset. It achieves the following results on the evaluation set:
- Loss: nan
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 1.0 | 4115 | nan |
| 0.0 | 2.0 | 8230 | nan |
Framework versions
- Transformers 4.26.0
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.11.0
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